Senior Software Engineer at InvestCloud — Bengaluru, IND | Base Career

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You will play a key role in driving the design of the modern, Python-based integration architecture and leading the migration strategy for clients on the legacy Java/Groovy/Oracle stack.

This means shaping technical patterns, managing risk across both platforms, and ensuring continuity as clients move to the new estate.We’re building for scale.

Much of what we design and implement today will be the technology and infrastructure that serves thousands of clients and petabyte-level volumes of data.

As part of AI, Data & Analytics, you will work in close proximity to teams shapingInvestCloud’s broader data, analytics and AI capabilities, with the opportunity to influence integration patterns that directly enable those outcomes.

The core stack we use and are building is:

AWS as our cloud provider
Oracle as our legacy data warehouse
Snowflake as our next-gen data warehouse
Mage AI for data ingestion and processing
Terraform for building infrastructure
Python as our primary development language
Java/Groovy within the legacy platform Key Responsibilities
Work as part of the team to build reliable and scalable pipelines and platform capabilities, as well as monitor and support the capabilities we offer
Construct complex architectures tying multiple services, SaaS tooling and third-party data together, leveraging a strong understanding of a cloud-based stack
Drive the migration of clients from the legacy Java/Groovy/Oracle stack to the modern platform, defining patterns, managing risk and ensuring continuity
Contribute to the technical strategy of the team, and its execution through prioritization and delivery management
Set high standards across documentation, testing, resiliency, monitoring, and codequality. Enforce these standards by holding your team accountable
Drive towards efficiency, lower our cloud spend, tackle our tech debt and look for ways to simplify code, infrastructure and data models across the platform
Write well-rounded, reusable and documented code that captures the essential nature of the solution
Inspire, teach and guide your fellow team members; lead design sessions, participate in code reviews, take ownership of operational processes
Promote data quality, governance and security as a first-class citizen of the platform, complying with relevant regulations

You have at least 6 years of relevant professional experience in Software Engineering or Data Engineering
You’ve participated in shaping the architecture of a mature cloud data platform (AWS,GCP, Azure), designed for different consumer types, and providing quantifiable business value
You are highly proficient in SQL and Python, and are confident applying them across data engineering and software development tasks
Working experience with Java or Groovy is strongly preferred, particularly in thecontext of legacy system migration or maintenance
You have hands-on experience in building resilient batch (Airflow, Fivetran, Mage AI, Airbyte) and streaming (Kafka, Kinesis, Flink, Spark) data pipelines at scale (> 1 TB/day)
You have designed and implemented performant, reusable, and scalable datamodels in a cloud data warehouse (dbt, BigQuery, Snowflake) and have working experience with legacy ecosystems (Oracle, Postgres)
You’ve run PoCs, planned large migrations of data and code, and participated in planning a roadmap multiple times before
You can build and maintain your own infrastructure through IaC (Terraform, OpenTofu, Ansible), containerization (Docker) and CI/CD (Jenkins, Github Actions); you rely on DevOps expertise when needed
You are proficient in Linux administration and Bash scripting for automation,deployment, and operational support
You have working experience with enterprise job scheduling tools such as cron and AutoSys, including managing job dependencies and scheduling workflows
You preach operational procedures from data and infrastructure observability (Monte Carlo, Datadog, Prometheus, Splunk), alerting and incident management (PagerDuty, incident.io)
You are a strong communicator and collaborator, able to engage with both technical and non-technical teams. You listen actively and contribute constructively
You are extensively using coding assistants (Claude Code (preferred)/Cortex/Cursor) to write production grade code
You have experimented with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain) Apply without meeting all requirements If you don’t meet every requirement but believe you’d thrive in this role, we’d still love to hear from you. We’re always keen to speak to people who connect with our mission and values. Location and Travel The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required.

Senior Software Engineer

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